Presenting at ACL 2023 🇨🇦
|July 10, 11:00-12:30 (EDT)
|Oral presentation of the main conf paper: DICE: Data-Efficient Clinical Event Extraction with Generative Models. We introduce a data-efficient generative model with specialized mention boundary predictions for clinical event extraction. We also propose MACCROBAT-EE, the first benchmark in the domain.
|July 10, 19:00-21:00 (EDT)
|Findings Spotlights of Multi-hop Evidence Retrieval for Cross-document Relation Extraction. We propose a multi-hop evidence retrieval method based on evidence path mining and ranking with dense retrievers, which shows great cross-document relation extraction performance.
|July 11, 16:15-17:45 (EDT)
|Oral presentation of the main conf paper: Can NLI Provide Proper Indirect Supervision for Low-resource Biomedical Relation Extraction? We leverage additional cross-domain supervision signals from Natural Language Inference on the Relation Extraction task. We show that it achieves state-of-the-art biomedical RE performance.
|July 14, 11:40-12:30 (EDT)
|Poster presentation at the TrustNLP: Third Workshop on Trustworthy Natural Language Processing